Kees van den Doel

45 papers receiving 1.2k citations

Peers

Kees van den Doel
Comparison fields: 5 of 110
  • Computer Graphics and Computer-Aided Design 168
  • Human-Computer Interaction 165
  • Signal Processing 285
  • Computer Vision and Pattern Recognition 543
  • Cognitive Neuroscience 355
Replace Amar Mitiche with:
Amar Mitiche Canada
D. Metaxas United States
Simon G. Fabri Malta
Mohamed Daoudi France
Sung Yong Shin South Korea
Noboru Sugie Japan
Hajime Nagahara Japan
Dima Damen United Kingdom
V. Ralph Algazi United States
Chuang Lin China
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Countries citing papers authored by Kees van den Doel

Since Specialization
Citations

This map shows the geographic impact of Kees van den Doel's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kees van den Doel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kees van den Doel more than expected).

Fields of papers citing papers by Kees van den Doel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kees van den Doel. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kees van den Doel. The network helps show where Kees van den Doel may publish in the future.

Co-authors

The 25 scholars most cited alongside Kees van den Doel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kees van den Doel Line = papers co-authored together Kees van den Doel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001191
2 2005126
3 2001121
4 199889
5 200978
6 200660
7 200559
8 199442
9
Synthesis of shape dependent sounds with physical modeling
199642
10 201140
11 201439
12
JASS: A JAVA AUDIO SYNTHESIS SYSTEM FOR PROGRAMMERS
200131
13 200930
14
SOUNDVIEW: SENSING COLOR IMAGES BY KINESTHETIC AUDIO
200327
15 199624
16 200724
17 201123
18 200423
19 200822
20 200921

About Kees van den Doel

Kees van den Doel is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Mathematical Physics and Signal Processing, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Music Technology and Sound Studies (13 papers), Numerical methods in inverse problems (8 papers), Human Motion and Animation (7 papers), Electrical and Bioimpedance Tomography (7 papers), Robotic Mechanisms and Dynamics (7 papers), Robot Manipulation and Learning (7 papers), Interactive and Immersive Displays (6 papers) and Computer Graphics and Visualization Techniques (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (168 citations), Human-Computer Interaction (165 citations), Signal Processing (285 citations), Computer Vision and Pattern Recognition (543 citations) and Cognitive Neuroscience (355 citations). Kees van den Doel has collaborated with scholars based in Canada, Germany and Brazil. Frequent co-authors include Dinesh K. Pai, Uri M. Ascher, Paul G. Kry, John E. Lloyd, Doug L. James, Jochen Lang, Jean‐Sébastien Blouin, J. Timothy Inglis, Christopher J. Dakin and Billy L. Luu. Their work appears in journals such as PRESENCE Virtual and Augmented Reality, Inverse Problems, Journal of Scientific Computing, SIAM Journal on Scientific Computing and Medicine & Science in Sports & Exercise.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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